5 of 5 Remote UML Jobs in Bristol

field.Professionally recognised with an appropriate institution e.g., CEng, CSEP. The use of MBSE approaches and tools (e.g. Sparx EA, Cameo). Knowledge of modelling languages and architecture frameworks, e.g., UML/SysML, ArchiMate, TOGAF, MODAF. Requirements engineering and its link to verification and validation. Knowledge of engineering lifecycles, their selection, tailoring and implementation. Working on the integration of complex systems More ❯

system documentation within a waterfall framework A solid understanding of software solution architectures and system design Developing system models and using design tools (Various methods and notation such as UML, enterprise architecture frameworks, etc.) Previous demonstrable experience with Digital Manufacturing Systems, Product Lifecycle Management systems would be an advantage. Information knowledge management and mentorship skills. Qualifications for the Senior Business More ❯

across strategically critical projects, contributing to the achievement of wider business objectives and vision Experience of business process modelling, demonstrating in-depth knowledge of modelling techniques such as BPMN, UML or similar. Extensive experience in business process improvement and reengineering Experience of synthesising requirements to effectively construct a holistic view of business needs Experience of using relevant software tools to More ❯

Data Meshes) and their use cases Creating data pipelines on cloud platforms with error handling and reusable libraries Documenting and presenting end-to-end data processing system diagrams (C4, UML, etc.) Implementing robust DevOps practices in data projects, including DataOps tools for orchestration, data integration, and analytics Enhancing resilience through vulnerability checks and testing strategies (unit, integration, data quality) Applying More ❯

consulting mindset. The following desirable attributes and areas of experience will make you particularly suited to this role: Experience with architecture frameworks and languages (such as TOGAF, ArchiMate and UML); An appreciation of Data Governance and Management frameworks (such as Data Management Body of Knowledge (DMBOK) or similar); An awareness of current technologies and approaches related to data and analytics More ❯